Wavelet Transforms of Diagnosable Signals from Ship Power Complexes in a MATLAB Environment
The use of digital technologies in the systems of diagnostics and monitoring of units of a ship’s propulsion plant can significantly increase the efficiency and quality of assessing the technical condition of operated objects in the online mode as well as expand the class of practical problems to be...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-12-01
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| Series: | Designs |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2411-9660/4/4/52 |
| _version_ | 1797545970170331136 |
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| author | Vladimir Sakharov Sergei Chernyi Sergey Saburov Aleksandr Chertkov |
| author_facet | Vladimir Sakharov Sergei Chernyi Sergey Saburov Aleksandr Chertkov |
| author_sort | Vladimir Sakharov |
| collection | DOAJ |
| description | The use of digital technologies in the systems of diagnostics and monitoring of units of a ship’s propulsion plant can significantly increase the efficiency and quality of assessing the technical condition of operated objects in the online mode as well as expand the class of practical problems to be solved. Digital processing of signals of complex configuration at a qualitatively new level is an indispensable condition for a critical improvement in the course of processing the current values of diagnosable parameters, increasing the reliability and trouble-free performance of a ship’s technical equipment during operation. A method of approximation has been discussed in the paper. Moreover, the paper provides an algorithm for analyzing the signal of the indicator diagram of a marine diesel engine, the spectrum of which contains high-frequency components and short-term pulses indicating deviations from the normal operating mode, the assessment of which is practically impossible with the traditionally applied methods of spectral analysis of signals. The approximation method is based on the use of wavelet analysis, which makes it possible to deeply explore such modes. Examples of using wavelet analysis to approximate one-dimensional signals of elements and systems of a ship’s power complexes are given. |
| first_indexed | 2024-03-10T14:23:30Z |
| format | Article |
| id | doaj.art-9c3ca4f7896347bca6884c62e5ae837a |
| institution | Directory Open Access Journal |
| issn | 2411-9660 |
| language | English |
| last_indexed | 2024-03-10T14:23:30Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Designs |
| spelling | doaj.art-9c3ca4f7896347bca6884c62e5ae837a2023-11-20T23:11:08ZengMDPI AGDesigns2411-96602020-12-01445210.3390/designs4040052Wavelet Transforms of Diagnosable Signals from Ship Power Complexes in a MATLAB EnvironmentVladimir Sakharov0Sergei Chernyi1Sergey Saburov2Aleksandr Chertkov3Department of Electrical Engineering and Automation, Admiral Makarov State University of Maritime and Inland Shipping, 198035 Saint-Petersburg, RussiaDepartment of Electrical Engineering and Automation, Admiral Makarov State University of Maritime and Inland Shipping, 198035 Saint-Petersburg, RussiaDepartment of Electrical Engineering and Automation, Admiral Makarov State University of Maritime and Inland Shipping, 198035 Saint-Petersburg, RussiaDepartment of Electrical Engineering and Automation, Admiral Makarov State University of Maritime and Inland Shipping, 198035 Saint-Petersburg, RussiaThe use of digital technologies in the systems of diagnostics and monitoring of units of a ship’s propulsion plant can significantly increase the efficiency and quality of assessing the technical condition of operated objects in the online mode as well as expand the class of practical problems to be solved. Digital processing of signals of complex configuration at a qualitatively new level is an indispensable condition for a critical improvement in the course of processing the current values of diagnosable parameters, increasing the reliability and trouble-free performance of a ship’s technical equipment during operation. A method of approximation has been discussed in the paper. Moreover, the paper provides an algorithm for analyzing the signal of the indicator diagram of a marine diesel engine, the spectrum of which contains high-frequency components and short-term pulses indicating deviations from the normal operating mode, the assessment of which is practically impossible with the traditionally applied methods of spectral analysis of signals. The approximation method is based on the use of wavelet analysis, which makes it possible to deeply explore such modes. Examples of using wavelet analysis to approximate one-dimensional signals of elements and systems of a ship’s power complexes are given.https://www.mdpi.com/2411-9660/4/4/52indicator diagramhourly fuel consumptionwavelet transformsDaubechies waveletssignal reconstruction levelswavelet decomposition coefficients |
| spellingShingle | Vladimir Sakharov Sergei Chernyi Sergey Saburov Aleksandr Chertkov Wavelet Transforms of Diagnosable Signals from Ship Power Complexes in a MATLAB Environment Designs indicator diagram hourly fuel consumption wavelet transforms Daubechies wavelets signal reconstruction levels wavelet decomposition coefficients |
| title | Wavelet Transforms of Diagnosable Signals from Ship Power Complexes in a MATLAB Environment |
| title_full | Wavelet Transforms of Diagnosable Signals from Ship Power Complexes in a MATLAB Environment |
| title_fullStr | Wavelet Transforms of Diagnosable Signals from Ship Power Complexes in a MATLAB Environment |
| title_full_unstemmed | Wavelet Transforms of Diagnosable Signals from Ship Power Complexes in a MATLAB Environment |
| title_short | Wavelet Transforms of Diagnosable Signals from Ship Power Complexes in a MATLAB Environment |
| title_sort | wavelet transforms of diagnosable signals from ship power complexes in a matlab environment |
| topic | indicator diagram hourly fuel consumption wavelet transforms Daubechies wavelets signal reconstruction levels wavelet decomposition coefficients |
| url | https://www.mdpi.com/2411-9660/4/4/52 |
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